Pubblicazioni

Pubblicazioni recenti 

Perchinunno P., Massari A., L’Abbate S., Mongelli L. (2023). Ecological Transition and Sustainable Development, a Multivariate Statistical Analysis to Guide the Policies of the National Recovery and Resilience Plan. Social indicators https://doi.org/10.1007/s11205-023-03078-w (Fascia A).

Perchinunno P., Bilancia M. Manca F., Santacroce L., Vitale D. (2023) A dynamic causal modeling of the second outbreak of COVID-19 in Italy. AStA Advances in Statistical Analysis https://doi.org/10.1007/s10182-023-00469-9 (Fascia A).

Perchinunno P., Passaro P., Rotondo F. (2023) Statistical analysis of the circular economy for the intervention policies of the NRRP. British Food Journal. https://www.emerald.com/insight/0007-070X.htm

Perchinunno P., Massari A., L’Abbate S., Carbonara C. (2023). A Spatial Statistical Approach for the Analysis of Urban Poverty. In: Gervasi et al. Lecture Notes in Computer Science. vol. 14106, p. 440-455, Switzerland: Springer Nature, ISBN: 978-3-031-37110-3

Perchinunno P., Massari A., L’Abbate S., Crocetta C. (2023). Blockchain and the General Data Protection Regulation: Healthcare Data Processing. In: Gervasi et al. Lecture Notes in Computer Science. vol. 14106, p. 428-439, Switzerland: Springer Nature, ISBN: 978-3-031-37110-3, doi: 10.1007/978-3-031-37111-0

Perchinunno P., Rotondo F., L’Abbate S., Mongelli L. (2022) Ecological transition and sustainable development: integrated statistical indicators to support public policies. Scientific Reports, vol. 12:18513, ISSN: 2045-2322, https://doi.org/10.1038/s41598-022-23085-0 (Fascia A).

Perchinunno P., Massari A., Mongelli L., L’Abbate S. (2022) Spatial Statistical Model for the Analysis of Poverty in Italy According to Sustainable Development Goals org/10.1007/978-3-031-10562-3_45 O. Gervasi et al. (Eds.): LNCS 13378, pp. 641–654.

Perchinunno P., L’Abbate S. (2022) A New Approach on Density-Based Algorithm for Clustering Dense Areas org/10.1007/978-3-031-10536-4_35 O. Gervasi et al. (Eds.): LNCS 13377, pp. 530–542.

Perchinunno P., L’Abbate S., Rotondo F., Leogrande D. (2022) The SDGs indicators for the statistical analysis of land and water resource protection org/10.1007/978-3-031-10545-6_38 LNCS 13379, pp. 564–575.

Perchinunno P., Carpita M., Crocetta C. (2021) Data Science and Its Applications to Social Research, doi.org/10.1007/s11205-021-02634-6. In: Social Indicator Research 156:339–340 ISSN: 0303-830

Perchinunno P., Rotondo F. (2021) Integrated Statistical Data for Planning Social Housing in the City of Taranto, LNCS 12954, pp. 142–152, 2021. doi.org/10.1007/978-3-030-86979-3_11, Springer Nature Switzerland AG 2021

Perchinunno P., Cazzolle M. (2020) A Clustering Approach for Classifying Universities in a World Sustainability Ranking. Doi.org/10.1016/j.eiar.2020.106471. In: Environmental Impact Assessment Review, Vol. 85, ISSN 0195-9255.

Perchinunno P., Passaro P., Schirone D. A, (2020) Sunday consumer behavior: a case study in retail marketing. African Journal of Marketing Management. Doi 10.5897/AJBM2020.9082 pp.  467-477 ISSN 1993-8233

Perchinunno P., D’Ovidio F. D., Mongelli L. (2020) Statistical matching techniques in order to plan interventions on socioeconomic weakness: An Italian case. DOI: 10.1016/j.seps.2020.100836. In: Socio-Economic Planning Sciences Vol. 71 - ISSN: 0038-0121

Perchinunno P., D’Ovidio F. D., Antonucci L. (2020) Data Integration Techniques for the Identification of Poverty Profiles DOI: 10.1007/s11205-019-02255-0. In Social Indicators Research. ISSN: 0303-8300

Perchinunno P., Rotondo F., Mongelli L. (2020) A Multidimensional Approach for the dentification of Environmental and Health Wellness Territories. doi.org/10.1016/j.ecolind.2019.105911; pp.1-8. Ecological Indicators Vol. 110 (2020) Article 105911- ISSN: 1470-160X.

Perchinunno P., Montrone S., Cazzolle M. (2020) The Classification of the University for Type of Campus Setting in a World Sustainability Ranking. Doi 10.1007/978-3-030-58808-3_64 LNCS vol. 12251 pp. 899 - 912. ISBN:978-3-030-58807-6

Perchinunno P., Stucci L. S., Perchinunno F. (2020) Covid 19: Health, Statistical and Constitutional Aspects. Doi 10.1007/978-3-030-58808-3_66 . pp. 927-940. LNCS vol. 12251 – ISBN:978-3-030-58807-6

Perchinunno P. (2020) Gli effetti del Covid-19 sul nostro paese e le possibili condizioni per il rilancio dell’economia. pp.1-4. In: Statistica & Società - ISSN:2282-233X vol. anno IX. Edizione Speciale COVID-19

Perchinunno P., D’Ovidio F. D., Rotondo F. (2019) Identification of “Hot Spots” of Inner Areas in Italy: Scan Statistic for Urban Planning Policies. DOI:10.1007/s11205-018-2005-1. pp.1299-1317. In Social Indicators Research. Vol. 143 (3) - ISSN:0303-8300

Perchinunno P., Bilancia M., Vitale D. (2019) A Statistical Analysis of Factors Affecting Higher Education Dropouts. DOI:10.1007/s11205-019-02249-y. In Social Indicators Research. ISSN:0303-8300

Perchinunno P., Ricci V. (2019) International Rankings: A Tool for Comparing Universities Through the Construction of Weighted Indicators. Doi 10.1007/978-3-030-24305-0_12 pp. 145–155 LNCS vol. 11622 – ISBN 978-3-030-24304-3.

Perchinunno P., Ricci V., Traetta F. (2019) University Dropout Rates: Factors and Motivations that Influence the Choices of the Students. Doi 10.1007/978-3-030-24305-0_7 pp. 79–92 LNCS vol. 11622 – ISBN 978-3-030-24304-3.

Perchinunno P., Mongelli L. (2019) The Linguistic Skills of Foreign Students in the Italian School System. Doi 10.1007/978-3-030-24305-0_5 pp. 48–61 LNCS vol. 11622 – ISBN 978-3-030-24304-3.

Perchinunno P., Bilancia M., Rotondo F. (2019) Industrial Development and Environmental Sustainability: A Multivariate Statistical Analysis. Doi 10.1007/978-3-030-24305-0_6 pp. 62–77 LNCS vol. 11622 – ISBN 978-3-030-24304-3

Perchinunno, P., Bilancia, M., Vitale D. (2019) A Monte Carlo study on learning algorithms for predicting student dropouts in higher education. pp.39-66. In: Annali del Dipartimento Jonico 2019 - ISBN:9788894281088 

Perchinunno P., Cazzolle M., Ricci V. (2018) The Positioning of Italian Universities in the International Rankings. DOI:10.1007/978-3-319-95168-3_4. pp.51-68. In LNCS  vol. 10962 - ISBN:978-3-319-95167-6

Perchinunno P., Iaquinta M., Rotondo F. (2018) Territorial Statistical Analysis of National Student Mobility in Italian Universities. DOI:10.1007/978-3-319-95162-1_45. pp.651-665. In Lecture notes in computer science vol. 10960

Perchinunno P., Bilancia M., Serra A. (2018) Predicting Student Dropouts in Higher Education Using Supervised Classification Algorithms. DOI:10.1007/978-3-319-95168-3_2. pp.18-33. In Lecture notes in computer science vol. 10962, - ISBN:978-3-319-95167-6

Perchinunno P., Montrone S., Torre C. M. (2018) From the District Model to an Analysis by Specializations, Concentrations and Productive Clusters: The Localization of Economic Activities in Puglia. DOI:10.1007/978-3-319-95168-3_32. pp.475-489. In Lecture notes in computer science, vol. 10962 - ISBN:978-3-319-95167-6

Perchinunno, P.; degli Esposti, M. (2018) Università e ranking internazionali: limiti e opportunità. Statistica & Società. anno VII numero 3/2018 ISSN 2282-233X.

P. Perchinunno, S. Montrone, L’Abbate S. (2017) Fuzzy cluster and validity indices in a socio-economic context, International Journal of Business Intelligence and Data Mining, vol. 12 N. 2, p. 119-132, ISSN: 1743-8187, doi: 10.1504/IJBIDM.2017.1000363

P. Perchinunno, S. Montrone, F. Rotondo, F. Selicato (2016). Methods to recognize housing hardship hot spots for developing urban regeneration policies. In Urbanistica (fascia A), pp.130-141. ISSN:0042-1022 vol. 155.

 Perchinunno, P., Montrone, S. (2016) ‘Different fuzzy cluster validity indexes for the evaluation of the quality of the resulting partitioning’, International Journal of Innovative Computing and Applications, Vol. 7, No. 2, pp.84–90.

Perchinunno P., Montrone S. (2015) The identification of ‘fuzzy profiles’ through the c-means clustering. International Journal of Business Intelligence and Data Mining, vol. 10, p. 62-72, ISSN: 1743-8187, doi: 10.1504/IJBIDM.2015.069040

Perchinunno P, Passaro P, Schirone D. (2015) Green Marketing and Sustainable Development: A Statistical Survey on Ikea Customers’ Perception. In: (a cura di): O. Gervasi et al., Lecture Notes in Computer Science . vol. 9157, p. 130-145, Springer International Publishing Switzerland 2015, ISBN: 978-3-319-21469-6, doi: 10.1007/978-3-319-21470-2_10

Perchinunno P, Montrone S, Selicato F, Rotondo F. (2015) Internal Areas Strategies: From Statistical Methods to Planning Policies. In: (a cura di): O. Gervasi et al., Lecture Notes in Computer Science. vol. 9157, p. 658-672, Springer International Publishing Switzerland 2015, ISBN: 978-3-319-21469-6, doi: 10.1007/978-3-319-21470-2_48

Perchinunno P, Montrone S, L'abbate S. (2015) “Flame”: A Fuzzy Clustering Method to Detection Prototype in Socio-Economic Context. In: (a cura di): O. Gervasi et al., Lecture Notes in Computer Science. vol. 9157, p. 120-129, Springer International Publishing Switzerland 2015, ISBN: 978-3-319-21469-6, doi: 10.1007/978-3-319-21470-2_9

Perchinunno P., Montrone S., Rizzi A. (2014) Family Lifestyles through the Construction of a Structural Equation Modeling. In: Murgante B. et al., LNCS 8581. vol. Part III, p. 192-207, Springer International Publishing Switzerland 2014, ISBN: 978-3-319-09149-5, doi: 10.1007/978-3-319-09150-1

Perchinunno P., Montrone S., L'abbate S., Zitolo M. R. (2014) The Lifestyles of Families through Fuzzy C-Means Clustering. In: Murgante B., et al., LNCS 8581. vol. Part III, p. 122-134, Springer International Publishing Switzerland 2014, ISBN: 978-3-319-09149-5, doi: 10.1007/978-3-319-09150-1

Perchinunno P., Montrone S., de Blasi L. (2013) The statistical matching: an integrated archive of the lifestyles of Italian families” In: Murgante, Misra, Carlini, Torre, Nguyen, Taniar, Apdhhan, Gervasi (eds.), Computational Science and its Applications -  Part VI. LNCS, vol. 7974, ISSN 0302-9743, ISBN 978-3-642-396489, Springer, Heidelberg, pp. 501-514.

Perchinunno P., Montrone S. (2013) Data integration techniques for the measurement of the reliability of sample variables. International Journal Of Business Intelligence And Data Mining, vol. 8, n. 4, p. 319-339, ISSN: 1743-8187, doi: DOI: 10.1504/IJBIDM.2013.059262

Perchinunno P., Montrone S. (2012) “Spatial Clustering Phenomena of the Non-Native Resident Population in Italy.” In: Geographic Information Analysis for Sustainable Development and Economic Planning: New Technologies. p. 193-199, IGI Global Disseminator of Knowledge, ISBN: 978-1-4666-1924-1, doi: 10 4018/978-1-4666-1924-1

Perchinunno P. Montrone S. (2012) “Socioeconomic Zoning: Comparing Two Statistical Methods.” In: Montrone S. Perchinunno P. (eds.) Statistical Methods for Spatial Planning and Monitoring. Contributions to Statistics, p. 93-118, Milan Heidelberg New York Dordrecht London: Springer, ISBN: 978-88-470-2750-3, ISSN: 1431-1968, doi: 10.1007/978-88-470-2751-0

Perchinunno P., Torre C.M., Rotondo F. (2012) “The evidence of Links between Landscape and Economy in a Rural Park” International Journal of Agricultural and Environmental Information System, vol. 3, Issue 2, p. 72-85, ISSSN: 1947-3192.

Perchinunno P., Schirone D. (2012) “Cluster Analysis for Strategic Management: a Case Study of IKEA.” In: LNCS. Lecture Notes In Computer Science, vol. 7334 PART II, p. 88-101, Berlin Heidelberg: Springer-Verlag, ISBN: 978-3-642-31074-4, ISSN: 0302-9743, doi: 10.1007/978-3-642-31075-1

Perchinunno P. Montrone S. (2012) “Clustering for the localization of degraded urban areas.” In: LNCS. Lecture Notes in Computer Science, vol. 7334 PART II, p. 102-115, Berlin Heidelberg: Springer-Verlag, ISBN: 978-3-642-31074-4, ISSN: 0302-9743, doi: 10.1007/978-3-642-31075-1

Perchinunno P., Montrone S., Campobasso F., Fanizzi A. (2011) “An Analysis of poverty in Italy through a Fuzzy Regression Model” In: Murgante, B., Gervasi, O., Iglesias A., Taniar, D., Bernady O. Apdhhan. (eds.), Computational Science and its Applications -  LNCS, vol. 6782, ISSN 0302-9743, ISBN 978-3-642-219276, Springer, Heidelberg, pp. 342-355.

Perchinunno P., Rotondo F., Torre C.M. (2010) “Estimates of Housing Costs and Housing Difficulties: an Application on Italian Metropolitan Areas”, in Kis S. and Balogh I. (Eds.), Housing, Housing Costs and Mortgages: Trends, Impact and Prediction, cap. 5, pagg. 95-108, ISBN: 978-1-60741-813-9,  Nova Publishers, New York, USA

Perchinunno P., Montrone S., Campobasso F., Fanizzi A. (2010) “A Fuzzy Approach to the Small Area Estimation of Poverty in Italy” In: Gloria Phillips-Wren, LakhmiC.Jain, Kazumi Nakamatsu, and Robert J. Howlett (Eds.), Advances in Intelligent Decision Technologies, Smart Innovation, Systems and Technologies n.4, ISSN 2190-3018, ISBN 978-3-642-14615-2, DOI 10.1007/978-3-642-14616-9, Springer, Heidelberg, pp. 309–318

Perchinunno P., Montrone S., Torre C.M. (2010) “Analysis of positional aspects in the variation of real estate values in an Italian Southern Metropolitan area” In: Taniar, D., Gervasi, O., Murgante, B., Pardede E., Apduhan B.O. (eds.), Computational Science and its Applications, Part I. LNCS, vol. 6010, ISSN 0302-9743, ISBN 978-3-642-12155-5, Springer, Heidelberg, pp. 17–31

Perchinunno P., Montrone S., Bilancia M. (2009) “A Model-Based Scan Statistics for Detecting Geographical Clustering of Disease” In: Gervasi, O., Murgante, B., Laganà, A., Taniar, D., Mun, Y., Gavrilova, M.L. (eds.), Computational Science and its Applications, Part I. LNCS, vol. 5592, ISSN 0302-9743, ISBN 978-3-642-02453-5, Springer, Heidelberg, pp. 353–368

Perchinunno P., Montrone S., Bilancia M. Torre (2009) C.M. “Economic Evaluation and Statistical Methods for Detecting Hot Spots of Social and Housing Difficulties in Urban Policies” In: Gervasi, O., Murgante, B., Laganà, A., Taniar, D., Mun, Y., Gavrilova, M.L. (eds.), Computational Science and its Applications, Part I. LNCS, vol. 5592, ISSN 0302-9743, ISBN 978-3-642-02453-5, Springer, Heidelberg, pp. 253–268

Perchinunno P., Montrone S., Rotondo F., Torre C. M., Di Giuro A. (2009) “Identification of Hot Spots of Social and Housing Difficulty in Urban Areas: Scan Statistic for Housing Market and Urban Planning Policies” In: Murgante B., Borruso G., and Lapucci A. (eds.) Geocomputation and Urban Planning, Studies in Computational Intelligence, Vol. 176, pp. 57–78, ISBN 978-3-540-89929-7, ISSN 1860949X, 1860-9503 (Online), Springer Verlag Berlin Heidelberg

Perchinunno P., Rotondo F., Torre C. M. (2008) “A Multivariate Fuzzy Analysis for the regeneration of urban poverty” In: Gervasi, O., Murgante, B., Laganà, A., Taniar, D., Mun, Y., Gavrilova, M.L. (eds.), Computational Science and its Applications, Part I. LNCS, vol. 5072, ISSN 0302-9743, ISBN 978-3-540-69838-8, Springer, Heidelberg, pp. 137–152

Perchinunno P., Campobasso F., Fanizzi A.(2008) “Homogenous urban poverty clusters within the city of Bari” In: Gervasi, O., Murgante, B., Laganà, A., Taniar, D., Mun, Y., Gavrilova, M.L. (eds.), Computational Science and its Applications, Part I. LNCS, vol. 5072, ISSN 0302-9743, ISBN 978-3-540-69838-8, Springer, Heidelberg, pp. 232–244

pubblicato il 02/09/2013 ultima modifica 25/06/2024

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